Design, develop, automate, and operate secure, scalable cloud CI/CD platforms and deployment pipelines, building pipeline-as-code and infrastructure-as-code solutions.
Locations (2)
Atlanta, Georgia, United States
Bermingham, Alabama, United States
Responsibilities
Design, develop, automate, and operate secure, scalable cloud CI/CD platforms and deployment pipelines.
Develop pipelines as code using YAML, Jenkins, Azure DevOps, or equivalent CI/CD technologies.
Automate the complete software delivery lifecycle including source-code integration, build and packaging, unit and automated testing, code-quality validation, security scanning, infrastructure provisioning, application deployment, release validation, and production promotion.
Implement reusable pipeline templates and automation frameworks to standardize application delivery across engineering teams.
Design and implement cloud infrastructure using Terraform.
Requirements
Nice to have: AWS Certified DevOps Engineer - Professional
Nice to have: Microsoft Azure DevOps Engineer Expert
Lead data analysis and reporting for the Revenue Operations team, driving insights across Marketing, Sales, and Customer Support.
Locations (2)
Calgary, Alberta, Canada
Canada
Responsibilities
Design, build, and maintain reporting and dashboards
Analyze GTM performance and translate data into actionable recommendations
Build and maintain SQL queries and spreadsheet models for commission tracking, pipeline analysis, forecasting, capacity planning, and CRM data reconciliation
Pull and connect data from the GTM tech stack including Databricks, HubSpot, Zendesk, and Gong
Identify opportunities to improve operational efficiency through automation and AI
Requirements
Post-secondary education in Business, Analytics, or a related field
A senior individual contributor role within the RCM team focused on designing, building, and shipping AI agents and automations to streamline revenue cycle management, sitting between operations and product/engineering teams.
Locations (2)
Chicago, Illinois, United States
United States
Compensation
The target base compensation for this position is $170,000 to $200,000 USD per year in most US locations.
Responsibilities
Embed with RCM professional services and operations teams to understand workflows, pain points, and where AI and automation can have the biggest impact
Lead discovery with stakeholders, translating ambiguous business problems into clear requirements, delivery plans, and success measures
Design, build, and deploy AI agents that do real RCM work, such as A/R follow-up, denial management, and claim rejections
Build agents that work across the channels where RCM work actually happens, including APIs, payer and clearinghouse web portals through browser automation, and payer phone calls through voice agents
Seeking a Software Engineer III to focus on EverHealth’s revenue cycle management (RCM) platform, building AI-enabled tools and automation foundations.
Locations (2)
Denver, Colorado, United States
Chicago, Illinois, United States
Compensation
The target base compensation for this position is $130,000 to $160,000 USD per year in most US locations.
Responsibilities
Build and ship features across a full-stack RCM worklist platform, from the user interface through backend services, APIs, and the data model
Develop event-driven services and workflows that route, prioritize, and track work across people and AI agents
Help build the shared automation foundation: the queues, state, and handoff logic that let an AI agent pick up a work item, finish it, or hand it back to a person
Build and maintain integrations that connect the platform with EverHealth products, our clearinghouse, and third-party systems
Build the platform services that run, coordinate, and monitor AI agents, including guardrails, human review steps, and observability
Conseiller senior en automatisation des tests QA – CI/CD / GitHub Actions
Senior QA Automation Engineer responsible for maintaining and evolving automated testing environments, integrating tests into CI/CD pipelines with GitHub Actions, and guiding teams in adopting modern QA practices.
Responsibilities
Automate tests and QA platform
Maintain and improve automated testing environment
Design, develop and integrate components for test execution
Lead the architectural vision for large-scale machine learning systems that power personalized care and treatment intelligence at Hims & Hers.
Compensation
Competitive salary & equity compensation for full-time roles
Responsibilities
Define and drive the architectural vision for ML and LLM systems that support treatment recommendation, personalization, and intelligent care delivery at scale
Establish foundational design patterns and infrastructure practices that ensure systems are scalable, resilient, secure, and maintainable
Work hands‑on with Python and ML frameworks like PyTorch to prototype, optimize, and guide implementation of complex model pipelines and platform components
Align high‑impact technical decisions with long‑term product strategy by partnering with platform, product, and clinical teams
Architect and evolve robust ML infrastructure to support continuous training, real‑time inference, evaluation, and observability
Requirements
Master’s degree or PhD in Computer Science, Machine Learning, or a related field
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